If you've been doing SEO for years, there's a new acronym headed your way: GEO — Generative Engine Optimization.
Princeton researchers coined the term in 2023. It describes a simple shift. SEO was about ranking in a list of links. GEO is about getting your content cited inside the single answer an AI gives you.
I watched a clear breakdown of this from Veronica Hylak at Hey AI. I rewrote it here in plain language because I think anyone who runs a website — especially museums and nonprofits — should understand GEO, not just the marketing agencies already selling it.
Source video: AI search has a problem nobody's talking about… and it can't be fixed — Hey AI / Veronica Hylak
Why GEO exists
For twenty years, Google gave you ten blue links. You decided what to click and what to trust.
AI search doesn't work that way. ChatGPT, Perplexity, and similar tools hand you one clean answer. No list. No obvious alternatives. AI-referred traffic has been climbing fast, and a growing share of people now start searches with AI instead of Google.
That changes the goal. You're not trying to be result number four on page one. You're trying to be the source the model quotes when it writes the answer.
How GEO actually works
GEO agencies (yes, they already exist) have one job: get a brand into AI answers when someone asks a relevant question.
Here's the mechanics, simplified.
1. Query fanout. When you ask ChatGPT a question, it usually doesn't search that exact sentence once. It fans out into dozens of smaller searches — different phrasings, related topics, review-style queries — all at the same time. The model stitches what comes back into one answer. You never see the fanout. Researchers call this query fanout.
2. Optimize for the minions, not the human. GEO starts by rewriting a company's website — not for visitors, but for those research agents. The site gets stuffed with the signals machines treat as credible: specific statistics, expert quotes, structured data, review language. The design barely matters. A site that looks like 2004 can still win if the data looks authoritative.
3. Cover every way someone might ask. Because the minions search different things, GEO content targets every variation of a question. Best dog toys for high-energy breeds. Kong alternatives 2026. Safest chew toys for large dogs. Same product, many entry points.
4. Plant mentions on sites AI already trusts. ChatGPT reads thousands of sources, not just your homepage. Wikipedia alone makes up a huge share of its citations. So GEO work often includes getting mentioned on Wikipedia, industry blogs, review roundups, and news sites — content written to look like research, with the target brand woven in.
Princeton's research found that GEO techniques can boost visibility inside AI answers by up to 40%. Nobody has fully cracked the system yet, but the early results are real enough that companies are already paying for it.
GEO is not an ad
This distinction matters. In February 2026, OpenAI started running labeled sponsored ads inside ChatGPT. You can see them. You can skip them. That's advertising.
GEO is different. When engineered content becomes the recommendation — no sponsored tag, no list of alternatives — it doesn't read like marketing. It reads like the answer. The video's example is blunt: a mediocre product can show up as the best choice for your border collie because the minions were fed engineered content across the web.
That's what makes GEO powerful. It exploits the trust reflex. You ask a question, you get a confident answer, and you believe it.
GEO vs SEO vs AEO
These get lumped together, but they're not the same thing.
- SEO — rank in search engine results pages. Ten links. Human chooses.
- AEO — Answer Engine Optimization. Become a source AI systems trust and cite. I've written about AEO principles from the legitimate side: clear structure, real expertise, original sourcing.
- GEO — Generative Engine Optimization. Actively engineer visibility inside AI-generated answers, often by gaming what the research agents find.
AEO and GEO overlap in tactics — structured content, authoritative language, third-party mentions. The difference is intent. AEO is about being genuinely worth citing. GEO, in its aggressive form, is about manufacturing that appearance whether you earned it or not.
What this means for your website
If you maintain a site for a museum, nonprofit, or any organization people are supposed to trust, you should care about GEO for two reasons.
First, your competitors might already be doing it. If someone else's engineered content surfaces in AI answers ahead of your real expertise, you lose visibility you never knew you had.
Second, the honest version of GEO is worth learning. Clear headings. Real statistics. Expert attribution. Structured data. Content that answers questions directly instead of burying the point in marketing fluff. Making content easier for AI to read fits here too. None of that is shady. It's just good publishing that happens to help AI systems find you.
The line gets blurry when people start planting fake authority, seeding mentions on sites they don't deserve, or writing pages for machines instead of humans. That's the dark side of GEO, and it's already happening.
How to spot GEO when you're using AI
If you're on the receiving end — asking ChatGPT for recommendations — a few habits help:
- Ask what a GEO-optimized answer would look like. Compare it to what you just got.
- Don't ask what's the best. Ask for three options and the tradeoffs.
- Ask the model to argue against its own pick. A weak counter-argument is a red flag.
- Try a fresh chat or a different model. Different answers mean neither one was gospel.
- Ask who else was considered and why they were rejected. Force it to show its work.
Where I land on this
GEO isn't going away. As more people start searches with AI, more money will flow into optimizing for it — the legitimate kind and the manipulative kind.
I'm not telling you to hire a GEO agency tomorrow. I'm saying the game has changed. Ranking in Google is no longer the whole story. The new question is: when someone asks an AI about your topic, does your organization show up — and is what it says actually true?
For mission-driven sites, the honest path is the same one I've always believed in. Be the original source. Write clearly. Structure your content so both humans and machines can read it. Don't try to trick the minions. Outlast the people who do.
Video credit: Hey AI — Veronica Hylak. Related posts: Core Principles of AEO, Markdown for AI Agents.